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Supporting irregular distributions using data-parallel languages
1995
IEEE Parallel & Distributed Technology Systems & Applications
g Languages such as Fortran D provide irregular distribution schemes that can efficiently support irregular-problems. Irregular distributions can also be emulated in HPF. Compilers can incorporate runtime procedures to automatically support these distributions. 12 0 n distributed-memory machines, large data arrays need to be partitioned between local processor memories. These partitioned data arrays are called distributed arrays. Many applications can be efficiently implemented by using simple
doi:10.1109/88.384581
fatcat:qscb4olexveehlp7swtnbm3ymm